Abstract
In order to accurately simulate pedestrian behaviour in complex situations, one is required to model both the physical environment and the strategic decision-making of individuals We present a method for integrating both of these model requirements, by distributing the computational complexity across discrete modules. These modules communicate with each other via XML messages. The approach also provides considerable flexibility for changing and evolving the model. The model is explained using an example of simulating hikers in the Swiss Alps.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J. Ferber: Mutli-agent Systems, An Introduction to Distributed Artificial Intelligence, Addison-Wesley (1999).
C. Gloor: Distributed Intelligence in Real World Mobility Simulations, In: Unpublished Doctoral Thesis, Department of Computer Science, ETH Zürich (2005).
C. Gloor et al.: A Pedestrian Simulation for Very Large Scale Applications, In: A. Koch and P. Mandl (Eds.), Multi-Agenten-Systeme in der Geographie, Institut für Geographie und Regionalforschung der Universität Klagenfurt (2003).
L. Mauron: Pedestrian Simulation Methods, In: Unpublished Diploma Thesis, Department of Computer Science, ETH Zürich (2002).
J.W. van Wagtendonk and J.M. Benedict: Travel Time Variation on Backcountry Trails, Journal of Leisure Research 12, pp. 99–104 (1980).
E.W. Dijkstra: A Note on Two Problems in Connexion with Graphs, Numerische Mathematik 1: pp. 269–271 (1959).
D. Cavens et al.: Integrating Visual Quality Modeling within an Agent-Based Hiking Simulation for the Swiss Alps, In: The Second International Conference on Monitoring and Management of Visitor Flows in Recreational and Protected Areas, Rovaniemi, Finland (2004).
D.R. Jefferson: Virtual Time, ACM Transactions on Programming Languages and Systems 7(3), pp. 404–25 (1985).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cavens, D., Gloor, C., Illenberger, J., Lange, E., Nagel, K., Schmid, W.A. (2007). Distributed intelligence in pedestrian simulations. In: Waldau, N., Gattermann, P., Knoflacher, H., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47064-9_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-47064-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47062-5
Online ISBN: 978-3-540-47064-9
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)